Canadian Association for Environmental Analytical Laboratories
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Laboratory accreditation and proficiency testing are important tools used by laboratories to demonstrate competence and performance. Although it is generally accepted that accreditation and proficiency testing (PT) have helped improve the quality of testing data, there have been few studies that have objectively demonstrated this. The Canadian Association for Environmental Analytical Laboratories (CAEAL), because it operates both an accreditation program and a proficiency testing program, has long-term data that can be used to examine these issues. This paper uses long-term PT data to demonstrate that both PT participation and laboratory accreditation have a positive effect on laboratory performance. Because the CAEAL accreditation program relies on volunteer assessors from participant laboratories, an attempt is also made to determine if there is a beneficial impact to a laboratory of having a trained and active assessor on staff. Finally, a preliminary examination of an international PT study (APLAC T055 metals in water) is presented, with an emphasis on the relationship between the level of PT participation (i.e., frequency) and performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it